Using Image Steganography for Providing Enhanced Medical Data security

被引：0
|
作者：
Usmani, Muhammad Arslan [1 ]
Usman, Muhammad Rehan [1 ]
机构：
[1] Kumoh Natl Inst Technol KIT, Dept IT Convergence Engn, Gumi, South Korea
来源：
2018 15TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | 2018年
关键词：
Edge detection; Huffman coding; image steganography; least significant bit; medical data security; CAPSULE ENDOSCOPY VIDEOS; QUALITY;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility.
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收藏
页数：4
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